How To Actually Book Meetings with Outbound
July 30th, 2025
The Signals-Driven Warm Outbound Playbook: How to Book 300+ Meetings/Month on LinkedIn Using AI
A complete guide to transforming your B2B outbound strategy. Move beyond failing "spray-and-pray" tactics and learn the system high-growth teams use to get 24-34% reply rates and book hundreds of meetings on LinkedIn. This playbook covers building an intent signal library, using AI for deep research, crafting personalized messages that sound human, and executing safely at scale. Based on proven results and real-world data.
About the Speaker
ZA
Zayd Ali
FOUNDER & CEO AT VALLEY
Zayd is the founder and CEO of Valley, an AI-powered outbound engine that books calls for founders and sales teams. Over the past six years, he co-founded and exited two appointment-setting agencies, employing over 100 people across the world and facing every scalability challenge possible: warm-up issues, deliverability problems, low acceptance rates, bad account lists, and poor response rates. Valley was built to solve all of these with an advanced AI system that sounds human and delivers personalized, timely, relevant outreach at scale. Zayd is backed by investors including General Catalyst Fellows, Antler, Jason Calacanis, and sales leaders from Rippling, Deel, Datadog, Gympass, Front, and Incredible Health.
Key Topics Covered
Building Your High-Intent Signal Library
Identify concrete buying signals—pricing page visits, competitor post engagement, job postings, third-party intent data, and funding announcements—that indicate a prospect is actively researching solutions in your category.
Consolidating and Scoring for Maximum Impact
Unify signals across tools and assign scores based on signal strength and ICP fit, creating a priority matrix that concentrates your team's effort on high-intent, high-fit leads.
AI-Powered Research for 1:1 Personalization at Scale
Deploy AI research agents to automatically build prospect dossiers, discovering recent company news, strategic initiatives, competitor positioning, and hiring trends in seconds rather than hours.
Live Demo: AI Video Production
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Key Results
$128 Million
Pipeline Generated by Valley Customers
300+ Meetings
Booked Per Month (40 seats)
24-34% Reply Rate
On Personalized InMail (vs. 2% industry average)
Actionable Ideas
High-Intent Signal Tracking System
Build a consolidated dashboard that monitors pricing page visits, LinkedIn content engagement (yours and competitors'), job postings, third-party intent data from G2/Bombora, and funding announcements for your ICP.
Automated Lead Scoring Matrix
Create a scoring system combining signal strength (pricing page visit = 10 points, blog view = 2 points) and ICP fit (company size, industry, role) to prioritize your 80/20 focus on high-fit, high-intent leads.
AI Research Agent Deployment
Set up research workflows that automatically pull recent company news, blog themes, competitor positioning, customer pain points (G2), and hiring trends for each prospect before outreach begins.
